Beijing University of Posts and Telecommunications

Star-ov: satellite-oriented trusted authorization and responsibility with stratified model encryption and ownership verifications

Abstract With the increasing adoption of deep neural networks (DNNs) in remote sensing interpretation and on-orbit intelligent processing, protecting the intellectual property of deployed models faces new challenges, including limited onboard computational resources, constrained...

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Cross-Modal Alignment Dataset

Conventional forecasting methods are trained end-to-end on unimodal time series, which limits their ability to exploit textual information and undermines their generalization in data-scarce scenarios. Recently, large language models (LLMs) and time series foundation models (TSFMs...

More than regulation: How policy mixes shape innovation ecosystems in digital transformation

The era of digital transformation drives the continuous restructuring of innovation ecosystems, challenging regulators to move beyond conventional regulations to address market and system failures. Although policy mixes are essential to address these challenges and promote innova...

LLMDPA: pre-execution privacy auditing of DP-SGD via evidence-constrained semantic analysis

Abstract Privacy auditing has emerged as a critical component for safeguarding data privacy in machine learning models. Existing empirical auditing methods heavily rely on model runtime states or post-deployment interfaces, resulting in substantial time costs and limited source-l...

Column Generation for Action-Based Group Handover Optimization in Large-Scale LEO Satellite Networks

Low Earth orbit (LEO) satellite constellations are an important component of non-terrestrial networks (NTNs) in future sixth-generation (6G) systems, owing to their wide coverage and low propagation delay. However, due to the high-speed orbital movement of LEO satellites, the ser...

A Parameterized Algorithm for \({K_r}\)-Factors in Graphs of High Minimum Degree

Abstract. A [Formula: see text]-factor of a graph [Formula: see text] is a collection of vertex-disjoint [Formula: see text]-cliques covering [Formula: see text]. We prove the following algorithmic version of the classical Hajnal–Szemerédi theorem in graph theory, when [Formula:...

GLiM-SAM: Global–local Mamba-enhanced SAM for 3D epilepsy lesion segmentation

Accurate localization of epilepsy foci is critical for surgical decision-making in the preoperative evaluation of drug-resistant epilepsy. However, epilepsy lesions are typically small, have blurred boundaries, and exhibit low contrast with surrounding tissues on MRI scans, posin...

Research on the Dynamic Evolution of Optical Fiber Excess Length and Icing Monitoring for In-Service Power Optical Cables in Extremely Cold Environments

In extremely cold regions, OPGW optical cables are prone to anomalies due to icing, especially when their internal fiber length is easily depleted, which then seriously affects the normal operation of the entire power communication system. Therefore, this paper proposes a nonline...

A High‐Efficiency Concurrent‐Capability Tri‐Band Power Amplifier Based on T‐ and L‐Section Dual‐Band Transformers

ABSTRACT This paper presents a simple three‐frequency matching structure formed by cascading T‐ and L‐Section dual‐band transformers (DBT). The main principle is that the T‐ and L‐Section DBT achieves tri‐band operate by jointly matching at three target frequencies, and based on...

Dual pathways from adversity: CEO childhood famine experience, motivational orientations, and organizational resilience

Organizational resilience is critical for sustained development in turbulent contexts; however, the mechanisms linking chief executive officers’ (CEOs) early-life adversity to organizational resilience and their boundary conditions remain underexplored. Drawing on imprinting and...

DHCBT: a digital human psychological counseling system with a CBT multi-agent framework

Academic stress is a major risk factor for mental health problems among college students. Existing online counseling systems often face three limitations: limited user trust in virtual interactions, insufficient adaptation to academic-stress scenarios, and inconsistent profession...

Structural parameterisation and immersive validation for cross carrier representation of Mongolian patterns

Mongolian patterns are routinely digitised as images, but their structural relations require explicit representation for comparison across material carriers. We developed a framework linking line direction, element boundaries, and compositional hierarchy to cross-carrier comparis...

CLIR: Liveness-Driven and Structure-Aware Fuzzing for the Cranelift Compiler

Modern compilers are complex software systems that must correctly translate high-level programming languages into machine code across multiple architectures. Cranelift, a fast and modern compiler backend originally developed for WebAssembly and recently adopted as an experimental...

Verification-gated agentic mission-state governance for intelligent industrial multi-robot systems

Agentic artificial intelligence can decompose industrial tasks, propose robot actions, and adapt execution plans. However, generated proposals may conflict with task dependencies, resource ownership, protective holds, or repair boundaries during long-horizon multi-robot execution...

Paradigm shift from statistical channel modeling to digital twin prediction: an environment-generalizable ChannelLM for 6G AI-enabled air interface

Abstract As 6G advances, ubiquitous connectivity and higher capacity requirements of the air interface pose substantial challenges for accurate and real-time wireless channel acquisition in diverse environments. Conventional statistical channel modeling relies on offline measurem...

Test Case Prioritization for DNNs via Neural Collapse Instability

With the widespread deployment of deep neural networks (DNNs) in safety-critical domains, reducing the cost of model validation under limited testing budgets has become increasingly important. Existing test case prioritization techniques often rely on single-checkpoint confidence...

Self-reported outcomes and associated factors among patients with cancer completing Mongolian mind-body interaction therapy: a cross-sectional study

Introduction Patients with malignant tumors face physical illness and psychological distress. Mongolian mind-body interaction therapy (MMBIT) is a group-based intervention combining modern psychology with traditional Mongolian medicine. As a complementary oncology approach, MMBIT...

Deep learning for predicting central cervical lymph node metastasis of papillary thyroid carcinomas deemed appropriate for active surveillance: a dual-center retrospective study

To develop and validate a two-stage two-path deep learning network (TTN) for automated nodule segmentation and prediction of central cervical lymph node metastasis (CLNM) in patients with small papillary thyroid carcinoma (PTC) eligible for active surveillance (AS) using ultrasou...

Thinking on maps: how foundation model agents explore, remember, and reason in map environments

Map environments provide a fundamental medium for representing spatial structure. Understanding how foundation model (FM) agents understand and act in such environments is therefore critical for enabling reliable map-based reasoning and applications. However, most existing evalua...

Communication-infrastructure-enabled ISAC for low-altitude sensing

As a core infrastructure of modern information society, cellular networks have long supported terrestrial communications and are now being extended to low-altitude connectivity with the growth of the low-altitude economy. However, the increasing number of aerial vehicles poses ne...